中亚五国土地资源要素数据集（V1.0）

面向中亚五国农业可持续发展，以土地资源为目标，为探究近20年气候变化下中亚地区的土地资源评价以及未来30年气候变化下中亚土地资源状况，收集了中亚的土地资源评价要素，包括：土壤要素（土壤盐渍化程度、土壤质地、土壤有机质含量、土壤pH值、土壤全氮）、地形要素（高程、坡度）、气候要素（降雨、气温、太阳辐射）。地形要素与土壤要素均以2020年为基准，气候要素包括2000年，2010年，2020年，以及采用CMIP6中的ESM1气候模式预估的未来SSP5-8.5情景下2030年和2050年的平均降水和气温，空间分辨率介于0.05°-0.1°。数据集可为中亚五国未来土地资源开发利用和农业发展等提供基础数据支撑。This dataset is constructed for the agricultural sustainable development of the five Central Asian countries, targeting land resources, to explore the land resource evaluation in Central Asia under climate change over the past 20 years and the future status of land resources in Central Asia under climate change in the next 30 years. Collected land resource evaluation factors for Central Asia include: soil factors (soil salinization degree, soil texture, soil organic matter content, soil pH value, total soil nitrogen), topographic factors (elevation, slope), and climatic factors (precipitation, air temperature, solar radiation). Both topographic and soil datasets take 2020 as the baseline year. Climatic factors cover the data of 2000, 2010 and 2020, as well as the projected average precipitation and air temperature under the SSP5-8.5 scenario in 2030 and 2050 derived from the ESM1 climate model in CMIP6. The spatial resolution of the dataset ranges from 0.05° to 0.1°. This dataset can provide basic data support for the future development and utilization of land resources and agricultural development in the five Central Asian countries.

搜集汇总

背景与挑战

背景概述

中亚五国土地资源要素数据集（V1.0）是一个面向农业可持续发展的数据集，收集了土壤、地形和气候要素，包括历史数据和未来预估，空间分辨率在0.05°至0.1°之间。该数据集旨在支持中亚地区近20年土地资源评价和未来30年气候变化下的土地资源分析，为土地开发利用和农业发展提供基础数据。